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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 780 · 40 questions
TalentJR

AI tip (Name the idea, then answer): Learning from examples → AI; fixed rules → a normal program. Order: training data → model → prediction; good data is many, varied and correctly labelled. Generative AI makes new things and can hallucinate; one-sided data causes bias.

NameDateTime takenScore ___ / 40
  1. 1.✨ Generative or not: drafting a letter? (a) makes something new (b) sorts or predicts
  2. 2.🤖 AI or a normal program: which one “improves with more data”? (a) AI (b) a normal program
  3. 3.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) True (b) False
  4. 4.Which of these is a fact about AI? (a) AI is never wrong (b) AI knows everything (c) AI can make up facts (d) confident means correct
  5. 5.Which of these is training data? (a) the trained program (b) the learned patterns (c) past weather records (d) tomorrow’s rain guess
  6. 6.🔍 Which is the odd one out? (a) drawing a new picture (b) spotting spam (c) composing a new tune (d) inventing a recipe
  7. 7.🤖 Who builds and trains AI systems? (a) the weather (b) the Moon (c) people (d) nobody at all
  8. 8.🔍 Which is the odd one out? (a) drafting a letter (b) inventing a recipe (c) creating a cartoon (d) unlocking with a face
  9. 9.🔍 Which is the odd one out? (a) an app translating signs (b) a fan regulator (c) a spam filter (d) a map predicting traffic
  10. 10.True or false: “never learns from data” describes how AI works. (a) True (b) False
  11. 11.Which of these is the model? (a) old emails marked spam (b) naming a new fruit photo (c) tomorrow’s rain guess (d) the trained program
  12. 12.True or false: “clear, sharp examples” is bad for training a model. (a) True (b) False
  13. 13.🏠 AI or not AI: a stopwatch? (a) uses AI (b) not AI
  14. 14.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
  15. 15.🔍 Which is the odd one out? (a) many varied examples (b) correct labels (c) blurry, unclear photos (d) photos in many lights
  16. 16.🧐 Fact or myth: “AI is never wrong”? (a) a myth (b) a fact
  17. 17.Which of these describes how AI works? (a) does exactly as coded (b) uses rules people wrote (c) follows fixed rules (d) makes a best guess
  18. 18.🤖 AI or a normal program: which one “does exactly as coded”? (a) a normal program (b) AI
  19. 19.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its training data (c) its colour (d) the weather
  20. 20.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
  21. 21.🧪 Why test a model on NEW examples? (a) to see if it works (b) to change its name (c) to delete its data (d) to make it slower
  22. 22.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
  23. 23.Which of these adds to bias? (a) ignore complaints (b) balance the data (c) add varied examples (d) test on many groups
  24. 24.True or false: “checking labels twice” is good for training a model. (a) False (b) True
  25. 25.True or false: spotting spam emails by their patterns only needs a simple fixed rule. (a) True (b) False
  26. 26.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your account is locked, pay ₹99 now” (a) not spam (b) spam
  27. 27.Which of these describes how AI works? (a) never learns from data (b) uses rules people wrote (c) same steps every time (d) improves with more data
  28. 28.🧐 Fact or myth: “AI learns from data”? (a) a fact (b) a myth
  29. 29.🏠 AI or not AI: a voice assistant? (a) uses AI (b) not AI
  30. 30.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a song about dogs (b) many labelled photos (c) one single photo (d) a list of rules only
  31. 31.🏠 AI or not AI: an image generator? (a) uses AI (b) not AI
  32. 32.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
  33. 33.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) True (b) False
  34. 34.🔦 Is a torch with an on/off switch AI? (a) yes (b) no (c) only if it is bright
  35. 35.📚 An AI chatbot names a book that does not exist. This is called… (a) a backup (b) a password (c) a summary (d) a hallucination
  36. 36.🔍 Which is the odd one out? (a) add varied examples (b) test on many groups (c) add more of the same (d) balance the data
  37. 37.🧐 Fact or myth: “AI copies data patterns”? (a) a fact (b) a myth
  38. 38.🤖 Does an AI system think and feel like a person? (a) only on weekends (b) no, it finds patterns (c) yes, just like us (d) yes, it gets sad
  39. 39.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
  40. 40.Which of these is training data? (a) the trained program (b) the learned patterns (c) recorded spoken words (d) tomorrow’s rain guess

Answer key

  1. makes something new
  2. AI
  3. False
  4. AI can make up facts
  5. past weather records
  6. spotting spam
  7. people
  8. unlocking with a face
  9. a fan regulator
  10. False
  11. the trained program
  12. False
  13. not AI
  14. a prediction
  15. blurry, unclear photos
  16. a myth
  17. makes a best guess
  18. a normal program
  19. its training data
  20. training data
  21. to see if it works
  22. good for training
  23. ignore complaints
  24. True
  25. False
  26. spam
  27. improves with more data
  28. a fact
  29. uses AI
  30. many labelled photos
  31. uses AI
  32. training data
  33. False
  34. no
  35. a hallucination
  36. add more of the same
  37. a fact
  38. no, it finds patterns
  39. balanced data
  40. recorded spoken words

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